Application of BP Neural Network in Travel Security Early Warning Information System
Yong Chen · Resource Development & Market · 2007
This thesis applied the BP neural network technology in the travel security early warning information system.It established a travel security early warning model based on the BP neural network.This model had four subsystems constitutions:Namely the early warning knowledge withdraws the subsystem,the early warning database,the alarm system and the man-machine interaction equipment.And the analysis summarized contained the traveling disaster frequency,to go to travel the facility degree of security and the traveling region degree of security,three big kinds of 10 stature factors reports to the police in the distinction pattern foundation for the content traveling safe early warning influence factor.Traveling safe early warning influence factor and the safe early warning and analyzed the influence factors and differentiate model about travel security early warning.Based on it,this research carried on an experimental design employed in travel security prewarning model.Its result revealed this model application effect to be good.